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Background: Heart failure (HF) is a chronic, progressive condition where the heart cannot pump enough blood to meet the body's needs. In addition to the daily challenges that HF poses, acute exacerbations can lead to costly hospitalizations and increased mortality. High health care costs and the burden of HF have led to the emerging application of new technologies to support people living with HF to stay well while living in the community.

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Objectives: Pathways Community Hub (PCH) programs help connect pregnant women to healthcare and social services. A scoping review of peer-reviewed studies on PCHs that reported quantitative outcomes was conducted.

Methods: A search of academic databases from 1901 to 2024 initially yielded a total of 1,312 articles, which was ultimately reduced to 4 articles after duplicates were removed, and two levels of screening were conducted to determine whether studies met the inclusion criteria of evaluating a community hub for pregnant women, was written in English, was peer-reviewed, and reported quantitative outcomes.

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Use of AI in Cardiac CT and MRI: A Scientific Statement from the ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA.

Radiology

January 2025

From the Department of Radiology, University of Washington, UW Medical Center-Montlake, Seattle, Wash (D.M.); Department of Radiology, OncoRad/Tumor Imaging Metrics Core (TIMC), University of Washington, Seattle, Wash (D.M.); Department of Radiology and Imaging Sciences, Emory University, Atlanta, Ga (M.v.A.); Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (M.H.); Department of Radiology, Mayo Clinic, Rochester, Minn (T.L., E.E.W.); Departments of Cardiology and Radiology, Royal Brompton Hospital, London, United Kingdom (E.D.N.); School of Biomedical Engineering and Imaging Sciences, King's College, London, United Kingdom (E.D.N.); Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill (B.D.A.); Department of Radiology, University of Cagliari, Cagliari, Italy (L.S.); Department of Radiology, University of Groningen, University Medical Center Groningen, Hanzeplein 1 Postbus 30 001, 9700 RB Groningen, the Netherlands (R.V.); Department of Medical Imaging, University Medical Imaging Toronto, University of Toronto, Toronto, Ontario, Canada (K.H.); and Toronto General Hospital Research Institute, University Health Network, University of Toronto, Toronto, Ontario, Canada (K.H.).

Artificial intelligence (AI) offers promising solutions for many steps of the cardiac imaging workflow, from patient and test selection through image acquisition, reconstruction, and interpretation, extending to prognostication and reporting. Despite the development of many cardiac imaging AI algorithms, AI tools are at various stages of development and face challenges for clinical implementation. This scientific statement, endorsed by several societies in the field, provides an overview of the current landscape and challenges of AI applications in cardiac CT and MRI.

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Loneliness has detrimental physical and mental health outcomes. To date, there are few studies on loneliness interventions in lower-resource settings. Based on participatory action research methods that are theoretically informed by the social relationship expectations framework, we developed a loneliness intervention called amanane using the photovoice method with older Myanmar migrants in northern Thailand.

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Introduction: Efgartigimod has been approved for the treatment of acetylcholine receptor antibodies-positive generalized myasthenia gravis (AChR-Ab+gMG), but its efficacy in patients with ocular myasthenia gravis (OMG) is not known.

Case Presentation: We describe 2 cases of patients with AChR-Ab+ OMG who showed unfavorable responses to corticosteroids and tacrolimus. Within 2 weeks of initiating efgartigimod, both patients showed rapid improvement and minimal symptom expression was achieved in weeks 3 to 4, which was maintained up to week 12.

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